The objective of this recurrence symposium is to encourage the exchange of knowledge among scientists working in the disciplines of time and spatial series analyses. Recurrence plots and recurrence quantifications are general methods for visualising and analysing both linear and nonlinear time series data. We continue to witness many new technical developments related to recurrence plots. Some of these include: a framework to treat recurrence plots as a network from which one can obtain network-related statistics; inferring directional couplings; identifying deterministic chaos; obtaining confidence intervals for recurrence quantification analysis; defining recurrence plots for point processes. In addition, applications of recurrence plots are increasing in areas such as mathematics, neuroscience, physiology, psychology, weather and climate, financial systems, and linguistics. This symposium will provide a unique forum to help combine the recent theoretical developments in recurrence science with applications from various fields. We welcome both theoretical and/or applied contributions that use recurrence plots, recurrence quantifications and related methodologies.

 

Participants are invited to present their related work on recurrence plots or recurrence based techniques in the form of contributed talks and posters. We strongly encourage the attendance of junior scientists (PhD and post-doc level).

 

 

 

 

Michael Small (Department of Electronic and Information Engineering, Hong Kong Polytechnic University)
Norbert Marwan (Research Domain Transdisciplinary Concepts and Methods, Potsdam Institute for Climate Impact Research)
Yoshito Hirata (Aihara Laboratory, Institute of Industrial Science, The University of Tokyo)
Charles L. Webber, Jr. (Department of Physiology, Loyola University Chicago)
Xu Xiaoke (Department of Electronic and Information Engineering, Hong Kong Polytechnic University)
Zhang Jie (Department of Electronic and Information Engineering, Hong Kong Polytechnic University)